Instructions to use somosnlp-hackathon-2022/itama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp-hackathon-2022/itama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="somosnlp-hackathon-2022/itama")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("somosnlp-hackathon-2022/itama") model = AutoModelForSeq2SeqLM.from_pretrained("somosnlp-hackathon-2022/itama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecd62470f71dbccab956cabceadd593fa1068d1338f5a7d7e543a2628d04a21a
- Size of remote file:
- 3.18 kB
- SHA256:
- 225ced9460b970d6df53fa55db9f03988d9a6831c3b8a2e6d9f3624e5f87571a
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